NobleProg delivers specialized CANN training in Leon, a hub of industrial and manufacturing excellence. Professionals in this region benefit from expert-led courses designed to enhance technical skills and drive innovation within the local business community.
Beneath the surface of high-performance AI lies CANN (Compute Architecture for Neural Networks)—the software backbone that drives Huawei’s Ascend processors and the teams leveraging them.
These instructor-led courses dissect the layers of the Compute Architecture for Neural Networks, revealing how CANN connects algorithms with silicon through graph optimization, kernel fusion, and hardware-aware scheduling.
Whether you are developing inference engines, refining custom operators, or migrating deep learning models for edge execution, you will acquire practical expertise in achieving peak performance on Ascend hardware.
Engage in live online training through an interactive remote desktop, or attend onsite sessions in Leon—either at your facility or a NobleProg training center—featuring labs that replicate production-grade acceleration and deployment workflows.
Also referred to as Ascend CANN or Huawei CANN, this program prepares developers, engineers, and AI infrastructure teams to harness the full power of hardware-aware intelligence.
NobleProg – Your Local Training Provider
Leon - Torre San Mateo
Blvd. Campestre 2502 , Leòn, Mexico
Located in the Golden Zone of Leon Gto.
By public bus
León's public transport is the SIT/Optibús system. The city publishes current route and timetable information through its Mobility Department.
From León Centro: a practical option is to travel toward Terminal San Jerónimo, then continue toward the Campestre area.
Blvd. Campestre is served by local routes; for example, route L-02 runs along Boulevard Campestre and connects with Centro Histórico and San Jerónimo.
For the final part, you may need a short walk from the closest stop to No. 2502.
This instructor-led training in Leon helps intermediate AI engineers construct and optimize neural network models by utilizing the Huawei Ascend platform and the CANN toolkit. Learners will configure their environments, develop applications using MindSpore, and execute deployments in edge or cloud settings.
This instructor-led live session in Leon offers an in-depth exploration of Huawei's AI stack, bridging the gap between the CANN SDK and the MindSpore framework. It is tailored to assist beginners and intermediate professionals in grasping how these components integrate within Ascend hardware to enhance lifecycle management and deployment strategies.
This instructor-led training in Leon covers deploying and optimizing CV and NLP models using the CANN SDK for Ascend hardware. Participants will learn to convert models, integrate them into live pipelines, and enhance inference performance for real-time detection and analysis.
This live, instructor-led training in Leon empowers advanced developers to build, deploy, and optimize custom AI operators. Learners will gain mastery over CANN TIK and Apache TVM integration, enabling advanced scheduling and optimization on Huawei Ascend hardware to achieve real-world performance improvements.
This instructor-led live training in Leon explores the essential principles and practical skills required for deploying AI models on Ascend edge devices using the CANN toolkit. It focuses on building proficiency in compiling, optimizing, and managing AI workloads in resource-constrained environments.
This live session in Leon provides an introduction to the CANN toolkit for AI framework developers. Participants will learn to configure environments, transform models, and launch applications on Ascend hardware using MindSpore, TensorFlow, or PyTorch, encompassing the entire workflow from training to inference.
Improve neural network inference speed on Ascend AI processors through this advanced, instructor-led course in Leon. Dive into CANN's runtime architecture, utilizing the Graph Engine, TIK, and TVM for profiling, developing custom operators, and overcoming memory bottlenecks.
This live session in Leon guides intermediate AI developers in deploying models on Ascend processors via the CANN toolkit. Participants will learn to convert frameworks like PyTorch and TensorFlow, optimize performance, and resolve issues to achieve efficient edge and cloud inference.
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